Sr Data Scientist Job at Robert Half, Plano, TX

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  • Robert Half
  • Plano, TX

Job Description

Job Description

Job Description

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, Texas. In this role, you will be applying innovative scientific and quantitative approaches to draw conclusions and make recommendations that answer business objectives and drive change. You will be part of a dynamic team, working within an industry where your work will have a direct impact on our decision-making process.

Responsibilities:
• Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making.
• Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations.
• Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results.
• Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling.
• Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies.
• Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations.
• Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights.
• Participate in budget processes, providing quantitatively-backed recommendations and insights.• Proficiency in Data Mining Techniques is essential for the role
• Must possess a deep understanding of Budget Processes
• Should be highly skilled in Quantitative Analysis
• Experience in Financial Modeling is highly desirable
• Knowledge of SQL is a must
• Proficiency in SAS is required
• Must be adept at using Excel
• Experience with Access is necessary

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